Transformations - Composability and Linearity in Computational Thinking - Lecture 4

Transformations - Composability and Linearity in Computational Thinking - Lecture 4

The Julia Programming Language via YouTube Direct link

Julia style(advanced): Defining vector valued functions

5 of 12

5 of 12

Julia style(advanced): Defining vector valued functions

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Classroom Contents

Transformations - Composability and Linearity in Computational Thinking - Lecture 4

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  1. 1 Introduction
  2. 2 Playing with transformations
  3. 3 Why Image Processing to learn Julia?
  4. 4 Last lecture leftovers: Perspective maps, Linear perspective interactive
  5. 5 Julia style(advanced): Defining vector valued functions
  6. 6 Functions with parameters
  7. 7 Linear transformations: a collection
  8. 8 Nonlinear transformations: a collection
  9. 9 Composition
  10. 10 Difference between sin and sin(x)
  11. 11 Definition of Linear Transformations
  12. 12 To be discussed in next lecture

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